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Job

A Job groups related Environment runs (Trajectories) for organization and analysis.

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Overview

Jobs help organize evaluation data, useful for:

  • Grouping runs for a specific agent version or experiment.
  • Running multiple trials of the same Task.
  • Comparing different agent configurations.
  • Viewing aggregated results and videos on the HUD platform.

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Creating Jobs

Decorate an async function. A new Job is created per function call, and any environments created within using hud.gym.make() are automatically linked.

from hud import gym, register_job
from hud.task import Task
from hud.agent import OperatorAgent # Example agent

@register_job(name="my-evaluation-run", metadata={"agent_version": "1.1"})
async def run_evaluation():
    task = Task(prompt="Example", gym="hud-browser")
    env = await gym.make(task) # Linked to "my-evaluation-run" job
    agent = OperatorAgent(environment="browser")
    # ... interaction loop ...
    await env.close() # Trajectory saved to the job

# await run_evaluation()
  • name (str): Job name on the HUD platform.
  • metadata (dict | None): Optional data for tracking.

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2. Manual Creation (create_job)

Create a Job object manually and pass it to gym.make().

from hud import gym, create_job
from hud.task import Task

async def manual_job_example():
    my_job = await create_job(name="manual-job")
    task = Task(prompt="Manual", gym="hud-browser")
    # Explicitly link environment to the created job
    env = await gym.make(task, job=my_job)
    # ... interaction loop ...
    await env.close()

# await manual_job_example()

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Accessing Job Data

Load a Job by its ID to retrieve its details and associated Trajectories.

from hud import load_job

async def analyze_job(job_id: str):
    job = await load_job(job_id)
    print(f"Job: {job.name}, Metadata: {job.metadata}")

    # Load associated trajectories
    trajectories = await job.load_trajectories()
    print(f"Found {len(trajectories)} trajectories.")
    for traj in trajectories:
        print(f" - Trajectory ID: {traj.id}, Reward: {traj.reward}")
        # Video links available on the HUD platform job page

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Job Properties

  • id (str)
  • name (str)
  • metadata (dict | None)
  • created_at (datetime)
  • status (str)

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Best Practices

  • Use @register_job for most scripts.
  • Use descriptive names and metadata.
  • Create separate jobs for distinct experiments.
  • Environment: Runs are linked to Jobs.
  • Trajectory: Recordings grouped by Job; accessed via job.load_trajectories().
  • Task: Defines the scenario for runs within a Job.